meatspec: Meat spectrometry to determine fat content

In julianfaraway/brinla: Bayesian Regression with INLA

Meat spectrometry to determine fat content

Description

A Tecator Infratec Food and Feed Analyzer working in the wavelength range 850 - 1050 nm by the Near Infrared Transmission (NIT) principle was used to collect data on samples of finely chopped pure meat. 215 samples were measured. For each sample, the fat content was measured along with a 100 channel spectrum of absorbances. Since determining the fat content via analytical chemistry is time consuming we would like to build a model to predict the fat content of new samples using the 100 absorbances which can be measured more easily.

Usage

meatspec

Format

Dataset contains the following variables

list("V1-V100")

absorbances across a range of 100 wavelengths

list("fat")

fat content

Source

H. H. Thodberg (1993) "Ace of Bayes: Application of Neural Networks With Pruning", report no. 1132E, Maglegaardvej 2, DK-4000 Roskilde, Danmark

julianfaraway/brinla documentation built on April 6, 2023, 2:33 p.m.